Susam Pal

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A Barnstar for you!

		COVID-19 Barnstar
		Thank you for your continuous efforts to quickly update statistics on COVID-19 pandemic in India. I appreciate it. Mayankj429 (talk) 04:17, 3 May 2020 (UTC)

Hi Mayankj429, Thanks for the barnstar. That's very kind of you. -- Susam Pal (talk) 06:32, 3 May 2020 (UTC)

Regarding discussion on COVID-19 pandemic in India

Hi, as you are an active contributor to the statistics on COVID-19 pandemic in India, kindly participate in this important discussion which affects statistics. Thank you. - Mayankj429 (talk) 04:56, 6 May 2020 (UTC)

India 10,000 challenge

Hello Susam Pal. You are invited to join the new WikiProject India 10,000 Challenge, a challenge which aims to see 10,000 improvements, destubs, and creations for Indian articles, covering every state of India and topic. Articles on all related topics are welcome. We need numbers to make this work and do something extraordinary for India on Wikipedia! Every 100 articles submitted will be copied into the wider Asian challenge. Sign up on the page if interested and start contributing! If you know someone who might be interested, please invite them by: {{subst:WikiProject India/The 10,000 Challenge Invite|~~~~}} Thanks, Dey subrata (talk) 12:29, 8 May 2020 (UTC)

Data verification at c:Data:COVID-19 cases in India by State and UT.tab

Hai Susam Pal, since you have the tools and archives; I am asking you this. Can you cross verify the table(linked in section title) I compiled with the archived sources for accuracy? - Timbaaa -> ping me 08:33, 17 July 2020 (UTC)

Hi Timbaaa, Thanks for leaving this message. I have not kept an easily processable archive of statewise + datewise data, unfortunately. In hindsight, I now think that I should have but I haven't. The case numbers table at https://indiacovid19.github.io/#case-numbers has links to archived references that can provide this data, however, someone has to invest some time and effort to turn the semi-structured data in the reference links to well-structured data in JSON form. Given the limited spare time I have, I have decided to invest it on the country-wide totals only. -- Susam Pal (talk) 15:31, 17 July 2020 (UTC)

Susam Pal, I understand, thanks for responding. - Timbaaa -> ping me 15:53, 17 July 2020 (UTC)

Data verification at Daily new deaths

The data points were wrong earlier. e.g.

970581391 - Daily new deaths for "2020-07-31" was changed from "37223" to "36953" without any explanation. [These are daily recoveries and it was 36953 for 31-Aug-2020. For Daily New Deaths X-axis has data starting from 12-March-2020 but the Y-axis had points for at least 42 more dates. So present graph is wrong. Check the number of dates vs number of deaths data points] 970586067 - New cases as percentage of previous day's active cases and geometric mean of last 7 day percentage values were changed without any explanation. [Similarly Daily New Cases vs Active cases, the CAGR is showing wrong data for a long time. These need to be recalculated.]

970586973 - CAGR values were changed without any explanation [These numbers were wrong and need to be recalculated. I had updated them but have been reversed without verifying old data] — Preceding unsigned comment added by Pankajsach (talk • contribs) 10:45, 1 August 2020 (UTC)

Hi Pankajsach,

I have responded to the three points you mentioned below:

1. You are right that the number 37223 was for daily new recoveries (not "daily new deaths" which was a typing mistake by me). However, the number 36953 that you claim for it is incorrect. Consider the following:

   • Total number of recoveries on 2020-07-30 was 1020582. (Evidence: https://web.archive.org/web/20200730191001/https://www.mohfw.gov.in/)
   • Total number of recoveries on 2020-07-31 was 1057805. (Evidence: https://web.archive.org/web/20200731124050/https://www.mohfw.gov.in/)
   • Therefore, the number of new recoveries on 2020-07-31 = 1057805 - 1020582 = 37223.

   I have shown above why the number of daily new recoveries on 2020-07-31 was 37223. How do you claim it was 36953 instead? Please explain.

2. Regarding CAGR values I have explained in the edit history comments at https://en.wikipedia.org/w/index.php?title=Statistics_of_COVID-19_pandemic_in_India&action=history why the currently entered numbers are the way they are. If you disagree, please discuss it on the talk page to explain why the current numbers are wrong. I am not the only editor of the article. There are other editors too and we all need to understand why you think those numbers are wrong before we modify them to new values.

3. You mentioned, "For Daily New Deaths X-axis has data starting from 12-March-2020 but the Y-axis had points for at least 42 more dates. So present graph is wrong. Check the number of dates vs number of deaths data points"

   I did check this. Here is the the Wikitext source code for this graph:

     | x = 2020-03-12, 2020-03-13, 2020-03-14, 2020-03-15, 2020-03-16, 2020-03-17, 2020-03-18, 2020-03-19, 2020-03-20, 2020-03-21, 2020-03-22, 2020-03-23, 2020-03-24, 2020-03-25, 2020-03-26, 2020-03-27, 2020-03-28, 2020-03-29, 2020-03-30, 2020-03-31, 2020-04-01, 2020-04-02, 2020-04-03, 2020-04-04, 2020-04-05, 2020-04-06, 2020-04-07, 2020-04-08, 2020-04-09, 2020-04-10, 2020-04-11, 2020-04-12, 2020-04-13, 2020-04-14, 2020-04-15, 2020-04-16, 2020-04-17, 2020-04-18, 2020-04-19, 2020-04-20, 2020-04-21, 2020-04-22, 2020-04-23, 2020-04-24, 2020-04-25, 2020-04-26, 2020-04-27, 2020-04-28, 2020-04-29, 2020-04-30, 2020-05-01, 2020-05-02, 2020-05-03, 2020-05-04, 2020-05-05, 2020-05-06, 2020-05-07, 2020-05-08, 2020-05-09, 2020-05-10, 2020-05-11, 2020-05-12, 2020-05-13, 2020-05-14, 2020-05-15, 2020-05-16, 2020-05-17, 2020-05-18, 2020-05-19, 2020-05-20, 2020-05-21, 2020-05-22, 2020-05-23, 2020-05-24, 2020-05-25, 2020-05-26, 2020-05-27, 2020-05-28, 2020-05-29, 2020-05-30, 2020-05-31, 2020-06-01, 2020-06-02, 2020-06-03, 2020-06-04, 2020-06-05, 2020-06-06, 2020-06-07, 2020-06-08, 2020-06-09, 2020-06-10, 2020-06-11, 2020-06-12, 2020-06-13, 2020-06-14, 2020-06-15, 2020-06-16, 2020-06-17, 2020-06-18, 2020-06-19, 2020-06-20, 2020-06-21, 2020-06-22, 2020-06-23, 2020-06-24, 2020-06-25, 2020-06-26, 2020-06-27, 2020-06-28, 2020-06-29, 2020-06-30, 2020-07-01, 2020-07-02, 2020-07-03, 2020-07-04, 2020-07-05, 2020-07-06, 2020-07-07, 2020-07-08, 2020-07-09, 2020-07-10, 2020-07-11, 2020-07-12, 2020-07-13, 2020-07-14, 2020-07-15, 2020-07-16, 2020-07-17, 2020-07-18, 2020-07-19, 2020-07-20, 2020-07-21, 2020-07-22, 2020-07-23, 2020-07-24, 2020-07-25, 2020-07-26, 2020-07-27, 2020-07-28, 2020-07-29, 2020-07-30, 2020-07-31, 2020-08-01
     | y1 = <!-- Daily --> 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 3, 2, 1, 0, 6, 3, 0, 8, 5, 3, 6, 12, 9, 13, 8, 28, 13, 25, 20, 37, 36, 31, 51, 29, 39, 28, 32, 36, 31, 40, 44, 49, 34, 37, 56, 47, 60, 51, 71, 67, 77, 71, 83, 83, 194, 111, 89, 103, 95, 128, 97, 87, 122, 134, 100, 103, 120, 157, 134, 140, 132, 148, 137, 147, 154, 146, 170, 194, 175, 265, 193, 230, 204, 217, 260, 273, 294, 287, 271, 271, 274, 357, 396, 386, 311, 325, 380, 2003, 334, 336, 375, 306, 445, 312, 465, 418, 407, 384, 410, 380, 418, 507, 434, 379, 442, 613, 425, 467, 482, 487, 475, 519, 551, 500, 553, 582, 606, 687, 671, 543, 681, 587, 648, 1129, 740, 757, 705, 708, 654, 768, 775, 779, 764
   

   Both X-axis and Y-axis have exactly 143 values. Here is a verification of this claim using Python.

   >>> x = "2020-03-12, 2020-03-13, 2020-03-14, 2020-03-15, 2020-03-16, 2020-03-17, 2020-03-18, 2020-03-19, 2020-03-20, 2020-03-21, 2020-03-22, 2020-03-23, 2020-03-24, 2020-03-25, 2020-03-26, 2020-03-27, 2020-03-28, 2020-03-29, 2020-03-30, 2020-03-31, 2020-04-01, 2020-04-02, 2020-04-03, 2020-04-04, 2020-04-05, 2020-04-06, 2020-04-07, 2020-04-08, 2020-04-09, 2020-04-10, 2020-04-11, 2020-04-12, 2020-04-13, 2020-04-14, 2020-04-15, 2020-04-16, 2020-04-17, 2020-04-18, 2020-04-19, 2020-04-20, 2020-04-21, 2020-04-22, 2020-04-23, 2020-04-24, 2020-04-25, 2020-04-26, 2020-04-27, 2020-04-28, 2020-04-29, 2020-04-30, 2020-05-01, 2020-05-02, 2020-05-03, 2020-05-04, 2020-05-05, 2020-05-06, 2020-05-07, 2020-05-08, 2020-05-09, 2020-05-10, 2020-05-11, 2020-05-12, 2020-05-13, 2020-05-14, 2020-05-15, 2020-05-16, 2020-05-17, 2020-05-18, 2020-05-19, 2020-05-20, 2020-05-21, 2020-05-22, 2020-05-23, 2020-05-24, 2020-05-25, 2020-05-26, 2020-05-27, 2020-05-28, 2020-05-29, 2020-05-30, 2020-05-31, 2020-06-01, 2020-06-02, 2020-06-03, 2020-06-04, 2020-06-05, 2020-06-06, 2020-06-07, 2020-06-08, 2020-06-09, 2020-06-10, 2020-06-11, 2020-06-12, 2020-06-13, 2020-06-14, 2020-06-15, 2020-06-16, 2020-06-17, 2020-06-18, 2020-06-19, 2020-06-20, 2020-06-21, 2020-06-22, 2020-06-23, 2020-06-24, 2020-06-25, 2020-06-26, 2020-06-27, 2020-06-28, 2020-06-29, 2020-06-30, 2020-07-01, 2020-07-02, 2020-07-03, 2020-07-04, 2020-07-05, 2020-07-06, 2020-07-07, 2020-07-08, 2020-07-09, 2020-07-10, 2020-07-11, 2020-07-12, 2020-07-13, 2020-07-14, 2020-07-15, 2020-07-16, 2020-07-17, 2020-07-18, 2020-07-19, 2020-07-20, 2020-07-21, 2020-07-22, 2020-07-23, 2020-07-24, 2020-07-25, 2020-07-26, 2020-07-27, 2020-07-28, 2020-07-29, 2020-07-30, 2020-07-31, 2020-08-01"
   >>> len(x.split(','))
   143
   >>> y = "1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 3, 2, 1, 0, 6, 3, 0, 8, 5, 3, 6, 12, 9, 13, 8, 28, 13, 25, 20, 37, 36, 31, 51, 29, 39, 28, 32, 36, 31, 40, 44, 49, 34, 37, 56, 47, 60, 51, 71, 67, 77, 71, 83, 83, 194, 111, 89, 103, 95, 128, 97, 87, 122, 134, 100, 103, 120, 157, 134, 140, 132, 148, 137, 147, 154, 146, 170, 194, 175, 265, 193, 230, 204, 217, 260, 273, 294, 287, 271, 271, 274, 357, 396, 386, 311, 325, 380, 2003, 334, 336, 375, 306, 445, 312, 465, 418, 407, 384, 410, 380, 418, 507, 434, 379, 442, 613, 425, 467, 482, 487, 475, 519, 551, 500, 553, 582, 606, 687, 671, 543, 681, 587, 648, 1129, 740, 757, 705, 708, 654, 768, 775, 779, 764"
   >>> len(y.split(','))
   143
   

   I have shown above that both X-axis and Y-axis have equal number of values, that is, 143 values. How do you claim that Y-axis has values for at least 42 more dates?

-- Susam Pal (talk) 11:43, 1 August 2020 (UTC)

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Apologies for harsh response in Module:Medical cases chart

I apologize for my harsh response here. I completely misinterpreted your summary and thought you said that the module was broken when, in fact, you simply said that the India chart was broken. After spending several stressful hours checking for Lua errors in all charts (I only noticed that I could have missed issues like yours after I was ~3/4 done), I got quite angry seeing your Undo to all that work, and just for one chart. Although I still think that it would have been better if you checked other working charts and likely noticed that the issue was in the template call, I shouldn't have called you out publicly like that. I tried to WP:REVDEL my summary but it didn't meet the criteria. In a way, that's better for me to write a more personal apology. Sincerely. Alexiscoutinho (talk) 00:35, 18 January 2021 (UTC)

Hi Alexiscoutinho, No worry at all. Thank you for posting this comment. I agree I could have investigated the issue, however, I did not have sufficient time for it, so I went ahead and reverted the module changes to the last known state that worked for the medical cases chart. I was aware it was undoing a huge volume of work but since everything is version controlled, I knew that you (or any other editor) who wants to investigate the issue can restore the undone module changes with a few clicks. Still, I think it was a mistake on my part to have undone your changes without first discussing the issue on the Talk page and I apologize for that. I will be careful about undoing changes like this in future. Thank you for the awesome work you are doing on the medical cases charts. -- Susam Pal (talk) 05:24, 18 January 2021 (UTC)

You've got mail

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Query out of curiosity

Hi, I was just wondering is there any standard guideline (or something in WP:MOS), that mentions that zero entry should have gray color. (w.r.t. your edit here) Zoodino (talk) 06:34, 2 February 2021 (UTC)

Hi Zoodino! I don't know if there is such a guideline. In community projects like this one, I usually follow the existing conventions as much as possible. The zero entries were styled with grey colour before I began editing that page, so I began following that convention. I don't have an opinion about it either way. If you think that we should get rid of this practice, it might be good to start a discussion about it on Template_talk:COVID-19_pandemic_data/India_medical_cases_by_state_and_union_territory. However, if you come across documentation of this convention somewhere, please let me know too. -- Susam Pal (talk) 07:09, 2 February 2021 (UTC)

@Susam Pal:, I have started a discussion here. Zoodino (talk) 04:07, 3 February 2021 (UTC)

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